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引用次数: 2

摘要

随着多媒体内容(如跨网络的音频、图像和视频)的使用不断增加,图像压缩和内容的安全性几乎成为希望通过此类网络传输的用户的需求。在这样的网络上传输,尤其是传输图像,可能会导致图像中的一些信息丢失。因此,需要良好和有效的加密方法来存储和传输图像,同时保留可想象的最佳质量特征,并增强安全性。提出了一种基于离散小波分解、SPIHT和Qi超混沌的高效图像压缩加密方案。本研究采用符合美国联邦信息处理标准(FIPS)和美国国家标准与技术研究院(NIST)的由气超混沌生成的伪随机数。利用随机数来改变图像的特征,实质上是隐藏与图像相关的视觉信息。为了实现选择性压缩加密,采用二维小波变换将图像分解为细节和近似分量,采用分层树压缩中的Set Partitioning方法对分解后的LL2图像进行压缩,然后使用Qi超混沌生成的比特流密钥进行排他或运算加密。实验结果表明,该方案具有较好的数据压缩和加密效果。
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Image Compression-Encryption Scheme Based on 2D DWT, SPIHT and Qi Hyper-chaos
With an ever increase usage of multi-media content, such audio, image and video across networks, image compression and security of content has become almost a need to users who would want to transmit over such networks. Transmitting over such networks, especially with images, may result in some information in an image being lost. For that reason good and efficient encryption methods are needed to store and transmit images while preserving the best imaginable quality features enhanced with security. This paper suggests or develops an efficient image compression-encryption scheme based on Discrete wavelet decomposition, SPIHT and Qi hyperchaos. Pseudo-random numbers generated from Qi hyper chaos and which are in line with the Federal Information Processing Standards (FIPS) and National Institute of Standards and Technology (NIST) were used in this study. The random numbers were used to change the image characteristics and in essence to hide the visual information related to image. To achieve the selective Compression-encryption, the 2-D wavelet transform was used to decompose the image into details and approximation components, Set Partitioning in Hierarchical Tree compression method was used to compress the decomposed LL2 image before being encrypted with the bits stream key generated from the Qi hyper-chaos using exclusive or operation. The experimental results demonstrate that the proposed scheme is good for data compression and encryption.
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